Instructions to use LibrAI/longformer-harmful-ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LibrAI/longformer-harmful-ro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LibrAI/longformer-harmful-ro")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LibrAI/longformer-harmful-ro") model = AutoModelForSequenceClassification.from_pretrained("LibrAI/longformer-harmful-ro") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f4c55749947f72b65f80ac863515d5e13a6ef91b9890928b438f3bc3d65de8b
- Size of remote file:
- 595 MB
- SHA256:
- ffbda1580e319ecdd112b4eea3b1ecb0448a21287c420000b4b8f3b7e069afcd
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